Contents

Adleman was born in California. He grew up in San Francisco and attended the University of California, Berkeley, where he received his BA degree in mathematics in 1968 and his Ph.D. degree in EECS in 1976. In 1994, his paper Molecular Computation of Solutions To Combinatorial Problems described the experimental use of DNA as a computational system. In it, he solved a seven-node instance of the Hamiltonian Graph problem, an NP-complete problem similar to the travelling salesman problem. While the solution to a seven-node instance is trivial, this paper is the first known instance of the successful use of DNA to compute an algorithm. DNA computing has been shown to have potential as a means to solve several other large-scale combinatorial search problems.

In 2002, he and his research group managed to solve a 'nontrivial' problem using DNA computation. Specifically, they solved a 20-variable SAT problem having more than 1 million potential solutions. They did it in a manner similar to the one Adleman used in his seminal 1994 paper. First, a mixture of DNA strands logically representative of the problem's solution space was synthesized. This mixture was then operated upon algorithmically using biochemical techniques to winnow out the 'incorrect' strands, leaving behind only those strands that 'satisfied' the problem. Analysis of the nucleotide sequence of these remaining strands revealed 'correct' solutions to the original problem.